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Machine Learning Defense Jobs in Arizona (NOW HIRING)

Laborup

5 Axis CNC Machinist

Tempe, AZ · On-site

$120K/yr

... defense programs. Expect highly complex prints, unproven prototype setups, and tight tolerances on ... to 5-axis machine kinematics, tool clearances, and collision avoidance. * Collaborate with ...

Laborup

5 Axis CNC Machinist

Tempe, AZ · On-site

$120K/yr

... defense programs. Expect highly complex prints, unproven prototype setups, and tight tolerances on ... to 5-axis machine kinematics, tool clearances, and collision avoidance. * Collaborate with ...

Laborup

5 Axis CNC Machinist

Tempe, AZ · On-site

$120K/yr

... defense programs. Expect highly complex prints, unproven prototype setups, and tight tolerances on ... to 5-axis machine kinematics, tool clearances, and collision avoidance. * Collaborate with ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$94K - $128K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$90K - $124K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Phoenix, AZ

$96K - $132K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

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Machine Learning Defense information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

How much does Lockheed Martin pay AI?

As a Machine Learning Defense professional at Lockheed Martin, salaries typically range from $80,000 to over $130,000 annually, depending on experience, education, and specific role. Compensation may also include benefits such as health insurance, retirement plans, and performance bonuses, with opportunities for career advancement in defense and aerospace sectors.

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What jobs pay $2000 a day?

In the field of Machine Learning Defense, highly specialized roles such as senior machine learning engineers, AI security consultants, or cybersecurity analysts working on AI systems can command daily rates of around $2000 or more, especially with extensive experience, advanced certifications, and working on critical projects. These positions often require expertise in AI algorithms, cybersecurity, and relevant tools like Python, TensorFlow, or cybersecurity frameworks, and may involve consulting or contract work with flexible schedules.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

Which 3 jobs will survive AI?

In the field of Machine Learning Defense, roles such as cybersecurity analysts, AI security specialists, and data scientists are likely to persist as they require complex judgment, domain expertise, and ongoing adaptation to evolving threats. These jobs involve critical thinking, understanding of adversarial AI techniques, and specialized skills that are difficult to fully automate. Continuous learning and certifications in cybersecurity or AI are valuable for staying relevant in these roles.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Arizona? For Machine Learning Defense jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Arizona look for? The top searched job categories for Machine Learning Defense jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Defense jobs? Cities in Arizona with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Arizona as of June 2026, with employment types broken down into 2% As Needed, 52% Full Time, and 46% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Dev Ops System Administrator (TS/SCI with Polygraph)

Dev Ops System Administrator (TS/SCI with Polygraph)

ExpertHiring

Scottsdale, AZ

$126K - $135K/yr

Other

Posted 13 days ago

Job description

Job Opening

Job Opening ID ZR_3342_JOB

Date Opened 05/28/2026

Job Type Full time

Industry IT Services

Salary $126,000 - $135,000 Annually

City Scottsdale

State/Province Arizona

Country United States

Zip/Postal Code 85257

Job Description

Top Reasons to work with our client: We develop mission critical solutions across the land, sea, air, space and cyber domains. Career advancement, autonomy in the workplace, well liked management. If this sounds interesting, let's talk!

Job Type: Full Time

Location: Scottsdale, Arizona

Pay: Good pay and benefits!

What you will be doing: Dev Ops System Administrator Design, implement, and maintain scalable and robust infrastructure for AI/ML model training and inference. Develop and manage CI/CD pipelines for automated building, testing, and deployment of AI applications and machine learning models. Administer and optimize Linux-based systems and virtualized environments. Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to deploy and scale ML services. Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform. Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks. Implement and maintain monitoring, logging, and alerting systems to ensure platform health and performance. Collaborate with development teams to support their infrastructure needs and troubleshoot issues.

Experience you will need: Dev Ops System Administrator Bachelor's degree in Computer Science, a related field or equivalent experience is required plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience. Department of Defense TS/SCI with Polygraph security clearance is required at time of hire. Advanced understanding of server-based operating systems. Strong Linux/Container/AI skills. Subject matter expert (SME) with the ability to mentor others on administrating the server environment. Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies. Hands-on experience developing, deploying, and supporting large-scale enterprise server solutions. Experience working with or familiarity with AI/ML models is preferred.

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